diff --git a/python/instrumentation/openinference-instrumentation-smolagents/tests/openinference/instrumentation/smolagents/test_instrumentor.py b/python/instrumentation/openinference-instrumentation-smolagents/tests/openinference/instrumentation/smolagents/test_instrumentor.py
index a7ef24a54..d12f86cd2 100644
--- a/python/instrumentation/openinference-instrumentation-smolagents/tests/openinference/instrumentation/smolagents/test_instrumentor.py
+++ b/python/instrumentation/openinference-instrumentation-smolagents/tests/openinference/instrumentation/smolagents/test_instrumentor.py
@@ -11,6 +11,8 @@
 from opentelemetry.sdk.trace.export.in_memory_span_exporter import InMemorySpanExporter
 from smolagents import OpenAIServerModel
 from smolagents.tools import Tool
+from smolagents.agents import CodeAgent, ManagedAgent, ToolCallingAgent
+from smoalgents.models import ChatMessage, ChatMessageToolCall, ChatMessageToolCallDefinition
 
 from openinference.instrumentation.smolagents import SmolagentsInstrumentor
 from openinference.semconv.trace import (
@@ -254,6 +256,134 @@ def forward(self, location: str) -> str:
         assert json.loads(tool_call_arguments_json) == {"location": "Paris"}
         assert not attributes
 
+class TestRun:
+    @pytest.mark.vcr(
+        decode_compressed_response=True,
+        before_record_request=remove_all_vcr_request_headers,
+        before_record_response=remove_all_vcr_response_headers,
+    )
+    def test_multiagents(self):
+        class FakeModelMultiagentsManagerAgent:
+            def __call__(
+                self,
+                messages,
+                stop_sequences=None,
+                grammar=None,
+                tools_to_call_from=None,
+            ):
+                if tools_to_call_from is not None:
+                    if len(messages) < 3:
+                        return ChatMessage(
+                            role="assistant",
+                            content="",
+                            tool_calls=[
+                                ChatMessageToolCall(
+                                    id="call_0",
+                                    type="function",
+                                    function=ChatMessageToolCallDefinition(
+                                        name="search_agent",
+                                        arguments="Who is the current US president?",
+                                    ),
+                                )
+                            ],
+                        )
+                    else:
+                        assert "Report on the current US president" in str(messages)
+                        return ChatMessage(
+                            role="assistant",
+                            content="",
+                            tool_calls=[
+                                ChatMessageToolCall(
+                                    id="call_0",
+                                    type="function",
+                                    function=ChatMessageToolCallDefinition(
+                                        name="final_answer", arguments="Final report."
+                                    ),
+                                )
+                            ],
+                        )
+                else:
+                    if len(messages) < 3:
+                        return ChatMessage(
+                            role="assistant",
+                            content="""
+Thought: Let's call our search agent.
+Code:
+```py
+result = search_agent("Who is the current US president?")
+```<end_code>
+""",
+                        )
+                    else:
+                        assert "Report on the current US president" in str(messages)
+                        return ChatMessage(
+                            role="assistant",
+                            content="""
+Thought: Let's return the report.
+Code:
+```py
+final_answer("Final report.")
+```<end_code>
+""",
+                        )
+
+        manager_model = FakeModelMultiagentsManagerAgent()
+
+        class FakeModelMultiagentsManagedAgent:
+            def __call__(
+                self,
+                messages,
+                tools_to_call_from=None,
+                stop_sequences=None,
+                grammar=None,
+            ):
+                return ChatMessage(
+                    role="assistant",
+                    content="",
+                    tool_calls=[
+                        ChatMessageToolCall(
+                            id="call_0",
+                            type="function",
+                            function=ChatMessageToolCallDefinition(
+                                name="final_answer",
+                                arguments="Report on the current US president",
+                            ),
+                        )
+                    ],
+                )
+
+        managed_model = FakeModelMultiagentsManagedAgent()
+
+        web_agent = ToolCallingAgent(
+            tools=[],
+            model=managed_model,
+            max_steps=10,
+        )
+
+        managed_web_agent = ManagedAgent(
+            agent=web_agent,
+            name="search_agent",
+            description="Runs web searches for you. Give it your request as an argument. Make the request as detailed as needed, you can ask for thorough reports",
+        )
+
+        manager_code_agent = CodeAgent(
+            tools=[],
+            model=manager_model,
+            managed_agents=[managed_web_agent],
+            additional_authorized_imports=["time", "numpy", "pandas"],
+        )
+
+        report = manager_code_agent.run("Fake question.")
+        assert report == "Final report."
+
+        manager_toolcalling_agent = ToolCallingAgent(
+            tools=[],
+            model=manager_model,
+            managed_agents=[managed_web_agent],
+        )
+
+        report = manager_toolcalling_agent.run("Fake question.")
+        assert report == "Final report."
 
 # message attributes
 MESSAGE_CONTENT = MessageAttributes.MESSAGE_CONTENT